T2EQ: Functions for Applying the T^2-Test for Equivalence

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Contains functions for applying the T^2-test for equivalence. The T^2-test for equivalence is a multivariate two-sample equivalence test. Distance measure of the test is the Mahalanobis distance. For multivariate normally distributed data the T^2-test for equivalence is exact and UMPI. The function T2EQ() implements the T^2-test for equivalence according to Wellek (2010) <DOI:10.1201/ebk1439808184>. The function T2EQ.dissolution.profiles.hoffelder() implements a variant of the T^2-test for equivalence according to Hoffelder (2016) <http://www.ecv.de/suse_item.php?suseId=Z|pi|8430> for the equivalence comparison of highly variable dissolution profiles.

Author
Thomas Hoffelder
Date of publication
2016-08-31 20:46:12
Maintainer
Thomas Hoffelder <thomas.hoffelder@boehringer-ingelheim.com>
License
GPL-3
Version
1.1

View on CRAN

Man pages

ex_data_JoBS
Example dataset from Hoffelder et al. (2015)
ex_data_pharmind
Example dataset from Hoffelder (2016)
T2EQ
Function for applying the T^2-test for equivalence
T2EQ.dissolution.profiles.hoffelder
The T^2-test for equivalence for dissolution data
T2EQ-package
Functions for Applying the T^2-Test for Equivalence

Files in this package

T2EQ
T2EQ/NAMESPACE
T2EQ/data
T2EQ/data/ex_data_pharmind.rda
T2EQ/data/ex_data_JoBS.rda
T2EQ/R
T2EQ/R/T2EQ.R
T2EQ/R/T2EQ.dissolution.profiles.hoffelder.R
T2EQ/MD5
T2EQ/build
T2EQ/build/partial.rdb
T2EQ/DESCRIPTION
T2EQ/man
T2EQ/man/T2EQ.Rd
T2EQ/man/ex_data_JoBS.Rd
T2EQ/man/T2EQ-package.Rd
T2EQ/man/ex_data_pharmind.Rd
T2EQ/man/T2EQ.dissolution.profiles.hoffelder.Rd